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quote_methane_leak_detection

Request a FREE commercial quote for: Methane Leak Detection. Satellite-based methane leak detection for oil & gas facilities Returns a binding USD price and quote_id (valid 15 min); no execution yet and no credits consumed. Use execute_quote with the quote_id to run it — execution consumes prepaid credits. Requires an API key (X-API-Key or Authorization: Bearer).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.9/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations present, the description carries the full burden and does so well: it discloses that the tool returns a binding USD price and quote_id, that the quote is valid for 15 minutes, that no execution occurs, that no credits are consumed, and that an API key is required. These are exactly the behavioral facts an agent needs to invoke and reason about the call.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loaded, starting with the action and target. Every clause adds value: the quote scope, the binding result and validity window, the no-execution/no-credit behavior, the follow-up tool, and the authentication requirement. Minor punctuation density does not undermine its efficiency.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter quote tool with no output schema and no annotations, the description is complete. It explains the return value, validity period, side-effect profile, next step, credit implications, and auth requirement. There is no missing information an agent needs to decide to call it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters and the schema is an empty object with 100% description coverage, so there is nothing for the description to add about parameter semantics. The baseline of 4 applies for a parameter-free tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb and resource: it requests a commercial quote for methane leak detection, a satellite-based service for oil & gas facilities. It also explicitly differentiates itself from execute_quote by stating that it does not execute anything, and its resource scope separates it from the many other quote_* siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description clearly states when to use the tool: to obtain a quote without execution or credit consumption. It names the alternative, execute_quote, and explains the flow to run the quote, including that execution consumes prepaid credits. It also gives the auth prerequisite, so an agent knows what is needed before calling.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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